An AI powered action layer for health care providers
Problem Statement
Health care providers struggle with complex Electronic Health Records overloaded with data. They spend too much time interacting with software instead of engaging with patients.
Objectives & Goals
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Streamline navigation
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Place contextually relevant info at their fingertips
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Lessen administrative burden
Output
Drawing inspiration from video game interfaces that "float" over a users main field of view, the action layer is a delivery mechanism of the user's most frequently used tools.
This required heavy integration with existing Electronic Health Records (EHRs) to generate context within a provider's workflow so they can be surfaced automatically at the right moment.
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Validated through extensive user research, the most critical and frequently requested information from within the EHR is presented to user in a minimal format.
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This eliminated complex navigation of the EHR, cutting prep time by 75% of typically observed.
Leveraging multiple APIs, and voice transcription, the action layer is able to both extract detailed information about their patients giving providers a holistic view of the patient as well as enter in meeting notes on their behalf reducing pre and post visit task time.